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Computational methods for quantitative analysis of three-dimensional features in geological specimens
Open accessAbstract
Volumetric imaging techniques, such as high-resolution X-ray computed tomography, allow three-dimensional measurements of discrete objects inside solid samples.This paper introduces a new computer program called BLOB3D that is designed to allow efficient measurement of up to thousands of features in a single sample, such as porphyroblasts, sediment grains, clasts, and voids.BLOB3D implements an original suite of software methods, divided into three modules, which respectively enable the tasks of segmenting those regions in the data volume that correspond to the material of interest; separating touching or impinging objects; and extracting measurements from the interpreted volume.Program functions are demonstrated and verified with a set of phantoms used to test determinations of particle size distributions and particle-particle contact orientations.
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Cited by
Wildenschild, D., & Sheppard, A. P. (2013) · Advances in Water Resources · doi:10.1016/j.advwatres.2012.07.018 · Cited by 1,239
Withers, P. J., Bouman, C., Carmignato, S., Cnudde, V., Grimaldi, D., Hagen, C. K., Maire, E., Manley, M., Du Plessis, A., & Stock, S. R. (2021) · Nature Reviews Methods Primers · doi:10.1038/s43586-021-00015-4 · Cited by 1,079
Image processing of multiphase images obtained via X‐ray microtomography: A review
Schlüter, S., Sheppard, A., Brown, K., & Wildenschild, D. (2014) · Water Resources Research · doi:10.1002/2014wr015256 · Cited by 656
Versatile and efficient pore network extraction method using marker-based watershed segmentation
Gostick, J. T. (2017) · Physical Review E · doi:10.1103/physreve.96.023307 · Cited by 423
Application of X-ray computed tomography to soil science: A literature review
Taina, I. A., Heck, R. J., & Elliot, T. R. (2008) · Canadian Journal of Soil Science · doi:10.4141/cjss06027 · Cited by 323
Metadata
- Authors
- Ketcham, R. A.
- Venue
- Geosphere
- Publisher
- Geological Society of America
- Published
- 2005
- Volume
- 1
- Issue
- 1
- Pages
- 32
- ISSN
- 1553-040X (ISSN-L)
- OpenAlex
- W2101330076
- Cited by
- 362
- References
- 0
- FWCI
- 39.35
- Type
- journal article
- Language
- en
- Open access
- bronze
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
